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| In recent years innovative ride-sharing services have gained significant attention. Such services require dynamic decisions on the acceptance of arriving trip requests and vehicle routing to ensure the fulfillment of requests. Decision support for acceptance and routing must be made under uncertainty of future requests. In this paper we highlight that state-of-the-art approaches focus on anticipatory decision-making for either acceptance or routing decisions. Our aim is to evaluate the potential of different levels of anticipation in ride-sharing services. Up to now it is unclear how the value of information differs between none partial or fully anticipatory decision-making processes. To this end we define and solve variants of the underlying dial-a-ride problem which differ in the information available about future requests. Using a large neighborhood search our experimental results demonstrate that ride-sharing services can highly benefit from anticipatory decision-making while the favorable level of anticipation depends on particular characteristics of the service esp. the demand-to-service ratio. |
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